eli-labz GitHub avatar

Cognitive-Core-Skills

eli-labz

一个适用于LLM和AI代理的认知核心技能通用分类包,涵盖13个领域共159项技能,提供机器可读数据和验证。

Stars

214

7 天增长

暂无数据

Fork 数

60

开放 Issue

0

开源协议

MIT

最近更新

2026-07-05

AI 仓库情报摘要
FR-AI / ANALYSIS

为什么值得关注

提供结构化、行业中立的AI代理能力分类体系,包含模式、基准测试和贡献工作流,同时涵盖文本基础技能和人类操作技能。

适合谁使用

  • 构建代理系统的AI/ML工程师
  • 集成认知技能分类的开发者
  • 研究AI代理架构的研究人员
  • 管理代理开发的技术项目经理

典型使用场景

  • 为自定义AI代理栈构建技能分类
  • 针对标准化评估标准对代理能力进行基准测试
  • 将认知技能卡片集成到代理开发流程中
  • 指导代理治理和验证层的设计

项目优势

  • 提供现成的分类数据、模式和验证测试
  • 注重实际操作,包含人类操作技能和治理结构
  • 支持JSON、YAML和Markdown多种格式重用
  • 设有贡献模板、持续集成和路线图,便于协作

使用前须知

  • 采用时需要映射到特定的代理架构
  • 目前专注于通用技能,缺乏领域特定定制
  • 仅包含分类体系,不含运行时或训练代码

README 快速开始

Cognitive Core Skills

Cognitive core skills are the mental operating capabilities an LLM or AI Agent needs to move from chat response to useful digital co-worker. An LLM predicts and generates language. An AI Agent wraps that LLM with memory, planning, tools, integrations, verification, and action control so it can pursue goals inside real workflows.

Cognitive core skills are the agent operating brain: perception to know the situation, memory to preserve continuity, reasoning to judge, planning to sequence work, action selection to execute, verification to confirm progress, learning to improve, and governance to stay safe.

Repository overview

This repository contains a universal, industry-neutral taxonomy package for:

  • LLM capabilities
  • SLM capabilities
  • AI agent capabilities
  • World model capabilities
  • Text-based cognitive skills
  • Human-action cognitive skills
  • Persistent LLM Wiki knowledge operations
  • OKF-style knowledge cataloging operations

Why star or fork this project

  • Practical: ready-to-use taxonomy data, schemas, and validation tests.
  • Operational: includes human-action skills and governance-oriented constructs.
  • Reusable: JSON, YAML, and markdown skill cards for easy integration.
  • Collaborative: contribution templates, roadmap, and CI in place.

Quickstart

  1. Read the taxonomy package docs in docs/cognitive-core-skills/.
  2. Explore machine-readable data in data/.
  3. Browse generated skill cards in Skills/index.md.
  4. Run validation locally.

Current status

  • Taxonomy version: 1.0.0
  • Skill count: 159
  • Domains covered: 13
  • Generated skill files in Skills/: 159 skill cards plus Skills/index.md
  • CI enabled for taxonomy and benchmark fixture tests

Capability model differences

System typePrimary strengthTypical limitation without augmentation
LLMBroad language understanding, synthesis, reasoning, draftingWeak continuity and no autonomous bounded action by default
SLMLow-latency, low-cost, private, constrained inferenceNarrower transfer and lower open-domain dept

项目描述

A universal, industry-neutral taxonomy of cognitive core skills (perception, memory, reasoning, planning, action, verification, learning, governance) for LLMs, SLMs, AI agents, and world models — with schemas, 159 skill cards, benchmarks, and CI.

相关仓库与替代方案

根据分类、Topic 和编程语言匹配的相似项目。

mereyabdenbekuly-ctrl
精选
mereyabdenbekuly-ctrl GitHub avatar

clodex-ide

Clodex is an open-source, local-first agentic IDE that combines persistent AI tasks, code, terminal, browser, Git, models, memory, and governed execution in one Electron workspace, currently in technical preview.

AI 与机器学习AI 智能体
859
0xwilliamortiz
精选
0xwilliamortiz GitHub avatar

openclaude-improved

OpenClaude is an open-source CLI coding agent that runs on any platform and supports a wide range of LLM providers, offering the same tools and workflows as Claude Code.

AI 与机器学习大语言模型
577
0xwilliamortiz
精选
0xwilliamortiz GitHub avatar

ponytail-improved

Ponytail is a plugin for AI coding agents that enforces a disciplined ladder of reuse before writing code, reducing code volume by roughly 54% while preserving safety.

AI 与机器学习AI 智能体
545